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Collection and Characterization of Synthetic Airborne Particles

Advanced Materials Letters 2023 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Marian Cătălin Grosu, Emilia Visileanu, Alexandra Ene, Razvan Scarlat, Virgil Marinescu

Summary

Researchers characterized polypropylene micro-nano particles in the air inside and outside textile industry workplaces, finding workers are exposed to plastic particles across multiple size fractions including fine PM2.5 and PM1 ranges that can penetrate deep into the lungs.

Polymers

This paper presents the polypropylene (PP) micro-nano particles (MNPs) exposure routes of textile industry personnel and analyses the characteristics of such particles collected in and outside the workplaces. A Laser Aerosol Spectrometer set was used to determine: the total suspended particles (TSP), PM10, PM2.5, PM1 fractions (µm/m3), and the total number of particles (TC) (1/l) from the air. Specific methods for descriptive statistics were used to characterize the particle populations. Mean, dispersion and standard deviation, median and quartiles, skewness and kurtosis for asymmetry, and highlighting the cases in which they should be performed were calculated. The box plots and histograms graphs for TSP, PM10, PM2.5, and PM1, TC variables. The comparative analysis of the results led to the identification of the fraction of the particles with the highest value concentration in the air. The particles were collected on quartz and polycarbonate filters with gold membrane using TECORA and GilAirPlus pumps. The mass of particles collected was determined by weighing the filters before and after collection, using an electronic balance. Characterization of PP dust collected by analysis: Optical microscope, Scanning Electron Microscopy, µRaman spectroscopy, FTIR, and TG-DSC allowed the identification of the shape, size, and structural footprint of PP particles.

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